Adaptive dynamic surface full state constraints control for stochastic Markov jump systems based on event-triggered strategy
作者：
Highlights：
• The assumption of stochastic input-to-state stability is taken out in the proposed methods by adding correction terms in controller to compensate for the measurement errors.
• In order to improve control efficiency, the event-triggered control strategies, which are fixed threshold strategy and relative threshold strategy, was investigated for stochastic Markov jump nonlinear systems. Furthermore, the designed relative threshold strategy which relies on the control signal reduces the frequency of events triggered.
• The average dwell time for stochastic Markov jump systems is used to decrease the frequency of switching and enhance the performance of the system.
摘要
•The assumption of stochastic input-to-state stability is taken out in the proposed methods by adding correction terms in controller to compensate for the measurement errors.•In order to improve control efficiency, the event-triggered control strategies, which are fixed threshold strategy and relative threshold strategy, was investigated for stochastic Markov jump nonlinear systems. Furthermore, the designed relative threshold strategy which relies on the control signal reduces the frequency of events triggered.•The average dwell time for stochastic Markov jump systems is used to decrease the frequency of switching and enhance the performance of the system.
论文关键词：Stochastic nonlinear systems,Event-triggered control,Dynamic surface control,Full state constraints
论文评审过程：Received 18 February 2020, Revised 16 May 2020, Accepted 19 July 2020, Available online 21 October 2020, Version of Record 21 October 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125563
